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全三维轴流式透平叶栅离散伴随气动优化设计
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  • 英文篇名:Full 3D aerodynamic optimization design for axial turbo machinery cascade based on discrete adjoint method
  • 作者:卢娟 ; 丰镇平
  • 英文作者:LU Juan;FENG Zhen-ping;Aero Engine Academy of China,Aero Engine Corporation of China;Institute of Turbo-machinery,School of Energy & Power Engineering,Xi'an Jiaotong University;
  • 关键词:离散伴随方法 ; 非均匀有理B样条 ; 参数化 ; 流量约束 ; 气动优化 ; 叶栅
  • 英文关键词:discrete adjoint method;;non-uniform rational B-spline;;parameterization;;mass flow constraint;;aerodynamic optimization;;cascade
  • 中文刊名:RQWL
  • 英文刊名:Gas Turbine Experiment and Research
  • 机构:中国航发中国航空发动机研究院;西安交通大学能源与动力工程学院叶轮机械研究所;
  • 出版日期:2018-08-15
  • 出版单位:燃气涡轮试验与研究
  • 年:2018
  • 期:v.31;No.135
  • 基金:国家自然科学基金资助项目(51076121)
  • 语种:中文;
  • 页:RQWL201804002
  • 页数:7
  • CN:04
  • ISSN:51-1453/V
  • 分类号:5-10+22
摘要
在前期研究的基础上,将三维轴流式透平叶栅参数化方法发展为基于非均匀有理B样条(NURBS)技术的新型叶栅参数化方法。此方法在对叶栅型线进行NURBS曲线拟合的同时,将叶栅各截面重心及安装角也纳入参数化范围,大大扩展了优化设计空间。基于此,应用离散伴随气动优化设计系统,对Aachen第一级静叶栅在无粘、大负攻角流动条件下,以降低叶栅进出口总压损失为目标进行了全三维气动优化设计。优化后叶栅总压系数提高了1.64%,通道内的流动分离状况得到了有效改善。此外,对优化过程是否添加质量流量约束进行的研究表明,约束条件对优化效果有较大影响,实际应用中应根据需要进行具体的优化设置。
        Based on the previous work, the previous parameterization method was developed to a new parameterization method based on Non-uniform Rational B-Spline(NURBS) technology. By this method, the stack points, the stagger angles, as well as the blade profiles can be parameterized at the same time to enlarge the optimization design space. By combining the new parameterization method and the aerodynamic optimization design platform based on discrete adjoint method, the first row stator of Aachen turbine was fully 3 D optimized with objective to minimize the total pressure loss through the cascade passage under inviscid and a big negative incidence flow condition. After optimization, the total pressure coefficient has increased 1.64%, and the flow separation on pressure side of the blade was improved. Besides, the optimization designs with and without the mass flow constraint were studied. And the results show that the constraint has a great influence on the optimization effect and the optimization details need to be set up where necessary in practical application.
引文
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